Optimization of Truck Platoon Size in Freeway Diverging Areas Based on Comprehensive Performance Evaluation

IF 3.4 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Access Pub Date : 2025-01-13 DOI:10.1109/ACCESS.2025.3528460
Zhifa Yang;Zongyao Li;Zhuo Yu;Wencai Sun;Jingjing Tian
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Abstract

Truck platoons can enhance traffic throughput, achieve better fuel economy, and yield environmental benefits. However, in freeway diverging areas, excessively long truck platoons can cause a blocking effect on small vehicles exiting the freeway, thereby causing congestion and impacting the traffic flow in the section. Therefore, to balance the benefits between truck platoons and small vehicles, a comprehensive evaluation model was established, considering traffic efficiency, safety, and fuel economy. The analytic hierarchy process (AHP) method was employed to determine the importance of each indicator, resulting in a composite score. Using the Simulation of Urban Mobility (SUMO) platform, this paper examines the effects of truck platoon size (ranging from 2 to 15 trucks) on traffic efficiency, safety, and fuel consumption under varying conditions. The analysis considers low, medium, and high small vehicle traffic volumes of 750, 1200, and 1650 pcu/h/lane, as well as off-ramp probabilities for small vehicles of 10%, 20%, 30%, and 40%. Simulation results indicate that traffic efficiency initially increases and then decreases as the truck platoon size increases. An increase in the number of truck platoon members leads to a decrease in section safety, particularly noticeable under medium and high flow conditions. In three flow scenarios, truck platoon size of more than 5 trucks can achieve higher fuel economy. Taking an off-ramp probability of 10% for small vehicles as an example, the optimal truck platoon size ranges from 3 to 8 vehicles under low flow conditions, 2 to 7 vehicles under medium flow conditions, and 2 to 6 vehicles under high flow conditions. Hence, traffic managers in freeway diverging areas can utilize the findings of this study to select suitable truck-platoon size, enabling them to implement preemptive adjustment strategies for achieving optimal comprehensive performance.
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基于综合性能评价的高速公路分流区卡车车队规模优化
卡车排可以提高交通吞吐量,实现更好的燃油经济性,并产生环境效益。然而,在高速公路分流区,过长的卡车排会对驶出高速公路的小型车辆产生阻塞作用,从而造成拥堵,影响该路段的交通流量。因此,为了平衡卡车排和小型车辆之间的效益,建立了综合考虑交通效率、安全性和燃油经济性的综合评价模型。采用层次分析法(AHP)确定各指标的重要程度,得出综合评分。利用城市交通模拟(SUMO)平台,本文研究了不同条件下卡车车队规模(从2到15辆卡车)对交通效率、安全性和燃油消耗的影响。该分析考虑了低、中、高的小型车辆交通量分别为750、1200和1650 pcu/h/车道,以及小型车辆的出口概率分别为10%、20%、30%和40%。仿真结果表明,随着卡车车队规模的增大,交通效率先增大后减小。卡车排成员数量的增加导致路段安全性的降低,在中、大流量工况下尤其明显。在三种流量情景下,卡车排规模大于5辆可以获得更高的燃油经济性。以小型车辆出匝道概率为10%为例,低流量条件下最优卡车排规模为3 ~ 8辆,中流量条件下为2 ~ 7辆,大流量条件下为2 ~ 6辆。因此,高速公路分流区的交通管理者可以利用本研究的结果选择合适的卡车排规模,使其能够实施先发制人的调整策略,以实现最优的综合性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Access
IEEE Access COMPUTER SCIENCE, INFORMATION SYSTEMSENGIN-ENGINEERING, ELECTRICAL & ELECTRONIC
CiteScore
9.80
自引率
7.70%
发文量
6673
审稿时长
6 weeks
期刊介绍: IEEE Access® is a multidisciplinary, open access (OA), applications-oriented, all-electronic archival journal that continuously presents the results of original research or development across all of IEEE''s fields of interest. IEEE Access will publish articles that are of high interest to readers, original, technically correct, and clearly presented. Supported by author publication charges (APC), its hallmarks are a rapid peer review and publication process with open access to all readers. Unlike IEEE''s traditional Transactions or Journals, reviews are "binary", in that reviewers will either Accept or Reject an article in the form it is submitted in order to achieve rapid turnaround. Especially encouraged are submissions on: Multidisciplinary topics, or applications-oriented articles and negative results that do not fit within the scope of IEEE''s traditional journals. Practical articles discussing new experiments or measurement techniques, interesting solutions to engineering. Development of new or improved fabrication or manufacturing techniques. Reviews or survey articles of new or evolving fields oriented to assist others in understanding the new area.
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